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Using Cloudera

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Hadoop World

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Resource Type

Video

Presentation Slides

Document

Resource Library

Cloudera offers a variety of materials on big data consolidation, storage and processing. The library includes high-level overviews as well as detailed information on Apache Hadoop and the surrounding ecosystem.

WibiData's Jon Natkins and Juliet Hougland discuss how developers can use Apache HBase and Kiji to develop low-latency predictive models, using algorithms like clustering or collaborative filtering, and how to leverage those models in the context of a full application.

Based on production experience with HBase since 2009, as well as recent benchmark results, this talk from Arista Network's Benoit Sigoure take you through network designs and optimizations for HBase, as well as possible ways to make the network work better for Apache Hadoop/HBase.

This talk will explain how to understand and interpret the metrics HBase exports. Along the way we’ll cover some high-level background on HBase’s internals, and share some battle tested rules-of-thumb about how to interpret and react to metrics you might see.

Dibyendu Bhattacharya of HappiestMinds explores the design and challenges HappiestMinds faced while implementing a storage and search infrastructure for a large publisher where books/documents/artifacts related records are stored in Apache HBase.